Navigation Signal Quality Monitoring Based on Eye Diagram

Xie, Jian Bin; Luo, Xianzhi; Wang, Yao

doi:10.1007/978-3-642-29193-7_21

Cited by 1 publication

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“…The abnormities of navigation signals are usually reflected in signal power, spectrum, modulation error, correlation performance, code/carrier tracking performance, ranging performance [28,29], etc. Accordingly, the evaluation indicators of SQM are mainly power spectrum, eye diagram, correlation peak, consistency and other waveforms, as well as carrier-to-noise ratio, amplitude modulation imbalance, carrier phase deviation, correlation loss, S curve deviation, and so on [30].…”

Section: Evaluation Of Signal Distortion 31 Design Of Sqm Softwarementioning

confidence: 99%

Quality monitoring and biases estimation of BOC navigation signals

Zhao

Zhang

Luo

et al. 2019

JSEE

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Many safety-critical applications that utilize the global navigation satellite system (GNSS) demand highly accurate positioning information, as well as highly integrity and reliability. Due to GNSS signals are easily distorted by the interferences or disturbances, the signal quality monitoring (SQM) is necessary to detect the presence of dangerous signal distortions. In this paper, we developed an SQM software for binary offset carrier (BOC) modulated navigation signals. Firstly, the models of BOC signal with ideal and distortion are presented respectively. Then the architecture of SQM software is proposed. Moreover, the effect of the white gaussian noise (WGN) and the front-end filter on the correlation peak of the receiver is analyzed. Finally, the biases induced by the signal distortion are evaluated. The experiments simulate the relationships between the code phase shift and the normalized correlation value in the case of the signal digital distortion and the analog distortion. The simulation results demonstrate that the proposed SQM method can effectively monitor the signal distortion and accurately estimate the correlation peak deviation caused by the distortion.

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Section: Evaluation Of Signal Distortion 31 Design Of Sqm Softwarementioning

confidence: 99%